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Published on: July 20, 2022
Magnetization dynamics of weakly interacting sub-100 nm square artificial spin ices
Jose M Porro1,2,3, Sophie A Morley4,5,6, Diego Alba Venero7
1ISIS Neutron and Muon Facility, Rutherford Appleton Laboratory, Chilton, OX11 0QX, United Kingdom. jm.porro@bcmaterials.net.
Artificial Spin Ice (ASI) dynamics were studied using SQUID magnetometry. Stronger interactions in ASI lead to faster magnetic relaxation and reduced dimensionality, contrary to expectations.
Area of Science:
- Condensed Matter Physics
- Magnetism
- Out-of-Equilibrium Systems
Background:
- Artificial Spin Ice (ASI) offers a platform to study complex magnetic phenomena.
- Recent research focuses on the dynamic, fluctuating states of ASI beyond static configurations.
- Understanding ASI dynamics is key to exploring exotic physics like monopole quasiparticles and unconventional phase transitions.
Purpose of the Study:
- To investigate the magnetic relaxation of thermally active ASI systems.
- To analyze the influence of interaction strength on magnetization dynamics at varying temperatures.
- To quantify effective interaction energy in square ASI systems.
Main Methods:
- SQUID magnetometry was employed to measure magnetic relaxation.
- Monte Carlo simulations were used to support experimental observations.
- Micromagnetic simulations were performed to compute interaction energies.
Main Results:
- ASI systems exhibit Arrhenius-type Néel-Brown relaxation behavior.
- An inverse correlation was found between average blocking temperature and interaction strength.
- Stronger coupling between nanoelements resulted in faster magnetization relaxation.
- Analysis of stretching exponents indicated 1-D chain-like magnetization dynamics, reducing ASI dimensionality from 2-D to 1-D.
Conclusions:
- The interaction strength significantly impacts ASI magnetic relaxation and dynamics.
- ASI systems can exhibit reduced dimensionality due to inter-element interactions.
- The study provides a method for quantifying effective interaction energy in ASI.
- Findings offer insights into controlling and understanding complex magnetic systems.
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